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Drowsiness-Detection-with-Realtime-Alert

Drowsiness-Detection-with-Realtime-Alert

Be Safe, Drive Safe: Drowsiness Detector

Created on 23rd April 2023

Drowsiness-Detection-with-Realtime-Alert

Drowsiness-Detection-with-Realtime-Alert

Be Safe, Drive Safe: Drowsiness Detector

The problem Drowsiness-Detection-with-Realtime-Alert solves

This is a Python-based project that uses OpenCV and dlib libraries to detect the drowsiness of a driver in real-time. It can detect if the driver's eyes are closed for a certain amount of time, which could indicate that the driver is drowsy and may fall asleep while driving. Drowsy driving is a major cause of road accidents, especially for long-distance drivers. To address this issue, we have developed a device that can detect a driver's sleepy eyes and send an alert to the driver while also slowing down the vehicle. The device is a combination of hardware and software components, which work together to detect the driver's drowsiness and take appropriate actions to prevent accidents.

Challenges I ran into

Due to the change in syntax of Tensorflow from the 2.5+ version, I had encountered many syntax errors, but was able to solve it after reading the documentation of it. Also faced problems while training the data set, but was able to get over it.

Discussion

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